Data Analysis and Machine learning for Statisticians Using R Course

Introduction

The course guide one on how to create production solutions given any type of data in Machine learning. The main focus will be on how to create solvable problems given data, how to obtain the data, the various algorithms applied to create models that help with future prediction. The language to use will be R since its one of the foundations of machine learning.

Duration:

5 days

Who should take the course?

This course is valuable for programmers, data analysts and anyone interested in machine learning/ Data Science/ Deep learning/ Statisticians and Econometricians both in the Public and private Sector

COURSE LEVEL:

Register for the course


Face to Face Schedules By Location
Dubai Schedules:
Arusha Schedules:
Johannesburg Schedules:
Kampala Schedules:
Nairobi Schedules:
Code Date Duration Location Fees
DML02 18 Dec 2023 - 22 Dec 2023 5 days Nairobi, Kenya KES 75,000 | USD 1,100 Register
DML02 22 Jan 2024 - 26 Jan 2024 5 days Nairobi, Kenya KES 75,000 | USD 1,100 Register
DML02 19 Feb 2024 - 23 Feb 2024 5 days Nairobi, Kenya KES 75,000 | USD 1,100 Register
DML02 18 Mar 2024 - 22 Mar 2024 5 days Nairobi, Kenya KES 75,000 | USD 1,100 Register
DML02 15 Apr 2024 - 19 Apr 2024 5 days Nairobi, Kenya KES 75,000 | USD 1,100 Register
DML02 20 May 2024 - 24 May 2024 5 days Nairobi, Kenya KES 75,000 | USD 1,100 Register
DML02 17 Jun 2024 - 21 Jun 2024 5 days Nairobi, Kenya KES 75,000 | USD 1,100 Register
Kigali Schedules:
Mombasa Schedules:
Nakuru Schedules:
Kisumu Schedules:
Naivasha Schedules:
Virtual Trainer Led Schedules
Contact Us on (+254) 715 077 817 / (+254) 792 516 000 or email us [email protected] for a virtual schedule.
Code Date Duration Period Fees
E-Learning

Contact Us on (+254) 715 077 817 / (+254) 792 516 000 or email us [email protected] for E-Learning course.


Course Objectives

By the end of the course one should be able to:

  • Master and understand machine learning using R.
  • Work with the concept of perceptrons
  • Earn the various robust models in machine learning and how to combine them to come up with solutions to various data problems.
  • Use R for data mining
  • Use R for clustered data analysis
  • How to make powerful data analysis

Course Outline

Module 1: Introduction to R

  • Introduction to R
  • Various libraries in R and importation of data.
  • Data cleaning and reading using R
  • Understand on how to work with variables, vectors, Matrices, Factors, Data frames, Lists and Arrays  in R
  • Learn the various data types in R
  • Learn different models in R

Module 2: Introduction to Machine Learning

  • Introduction to Machine learning
  • Comparison of Supervised and Unsupervised Data
  • R libraries suitable for machine learning
  • Linear and logistic Regression using R
  • Understand the robust models used in machine learning

Module 3: Data mining in R

  • K-Nearest Neighbour
  • Decision Trees
  • Logistic Regression
  • Support Vector Machines
  • Outlier Detection
  • Model Evaluation

Module 4: Neural Networking using R

  • Understanding of Neural Networks
  • Learning about Activation Functions, hidden layers, hidden units
  • Understanding the concept of training a Perceptron
  • Important Parameters of Perceptron
  • Understand limitations of A Single Layer Perceptron
  • Illustrate Multi-Layer Perceptron
  • Back-propagation – Learning Algorithm
  • Understand Back-propagation – Using Neural Network Example in R

Module 5: Clustering Analysis in R

  • K-means Clustering
  • Hierarchical Clustering
  • Density-Based Clustering
  • Gaussian Clustering Model

Course Administration Details:

METHODOLOGY

The instructor-led training is delivered using a blended learning approach and comprises of presentations, guided sessions of practical exercise, web-based tutorials and group work. Our facilitators are seasoned industry experts with years of experience, working as professional and trainers in these fields.

All facilitation and course materials will be offered in English. The participants should be reasonably proficient in English.

ACCREDITATION

Upon successful completion of this training, participants will be issued with an Indepth Research Institute (IRES) certificate certified by the National Industrial Training Authority (NITA).

TRAINING VENUE

The training will be held at IRES Training Centre. The course fee covers the course tuition, training materials, two break refreshments and lunch.

All participants will additionally cater for their, travel expenses, visa application, insurance, and other personal expenses.

ACCOMMODATION AND AIRPORT PICKUP

Accommodation and airport pickup are arranged upon request. For reservations contact the Training Officer.

Email:[email protected].  

Mob: +254 715 077 817

TAILOR- MADE

This training can also be customized to suit the needs of your institution upon request. You can have it delivered in our IRES Training Centre or at a convenient location.

For further inquiries, please contact us on Tel: +254 715 077 817.

Mob: +254 792516000+254 792516010 or mail [email protected]

PAYMENT

Payment should be transferred to IRES account through bank before the course start date

Send proof of payment to [email protected]


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